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ORCIDRonald R. Coifman
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2020 – today
- 2024
[i15]David W. Sroczynski, Felix Dietrich, Eleni D. Koronaki, Ronen Talmon, Ronald R. Coifman, Erik M. Bollt, Ioannis G. Kevrekidis:
On Learning what to Learn: heterogeneous observations of dynamics and establishing (possibly causal) relations among them. CoRR abs/2406.06812 (2024)- 2023
- [j29]Ronald R. Coifman, Nicholas F. Marshall, Stefan Steinerberger
:
A Common Variable Minimax Theorem for Graphs. Found. Comput. Math. 23(2): 493-517 (2023) - [c25]Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon:
Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning. ICML 2023: 21003-21025 - [i14]Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon:
Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning. CoRR abs/2305.18962 (2023) - [i13]Erez Peterfreund, Iryna Burak, Ofir Lindenbaum, Jim Gimlett, Felix Dietrich, Ronald R. Coifman, Ioannis G. Kevrekidis:
Gappy local conformal auto-encoders for heterogeneous data fusion: in praise of rigidity. CoRR abs/2312.13155 (2023) - 2021
- [j28]Boris Landa, Ronald R. Coifman, Yuval Kluger:
Doubly Stochastic Normalization of the Gaussian Kernel Is Robust to Heteroskedastic Noise. SIAM J. Math. Data Sci. 3(1): 388-413 (2021) - [c24]Alexander Tong, Guillaume Huguet, Amine Natik, Kincaid MacDonald, Manik Kuchroo, Ronald R. Coifman, Guy Wolf, Smita Krishnaswamy:
Diffusion Earth Mover's Distance and Distribution Embeddings. ICML 2021: 10336-10346 - [i12]Alexander Tong, Guillaume Huguet, Amine Natik, Kincaid MacDonald, Manik Kuchroo, Ronald R. Coifman, Guy Wolf, Smita Krishnaswamy:
Diffusion Earth Mover's Distance and Distribution Embeddings. CoRR abs/2102.12833 (2021) - [i11]Ronald R. Coifman, Nicholas F. Marshall, Stefan Steinerberger:
A common variable minimax theorem for graphs. CoRR abs/2107.14747 (2021) - 2020
- [i10]Erez Peterfreund, Ofir Lindenbaum, Felix Dietrich, Tom Bertalan, Matan Gavish, Ioannis G. Kevrekidis, Ronald R. Coifman:
LOCA: LOcal Conformal Autoencoder for standardized data coordinates. CoRR abs/2004.07234 (2020) - [i9]Boris Landa, Ronald R. Coifman, Yuval Kluger:
Doubly-Stochastic Normalization of the Gaussian Kernel is Robust to Heteroskedastic Noise. CoRR abs/2006.00402 (2020)
2010 – 2019
- 2019
- [c23]Gal Mishne, Eric C. Chi, Ronald R. Coifman:
Co-manifold learning with missing data. ICML 2019: 4605-4614 - 2018
- [j27]Gal Mishne, Ronen Talmon, Israel Cohen, Ronald R. Coifman, Yuval Kluger:
Data-Driven Tree Transforms and Metrics. IEEE Trans. Signal Inf. Process. over Networks 4(3): 451-466 (2018) - [i8]Gal Mishne, Eric C. Chi, Ronald R. Coifman:
Co-manifold learning with missing data. CoRR abs/1810.06803 (2018) - 2017
- [j26]Ronald R. Coifman, Stefan Steinerberger, Hau-Tieng Wu:
Carrier Frequencies, Holomorphy, and Unwinding. SIAM J. Math. Anal. 49(6): 4838-4864 (2017) - [i7]Gal Mishne, Ronen Talmon, Israel Cohen, Ronald R. Coifman, Yuval Kluger:
Data-Driven Tree Transforms and Metrics. CoRR abs/1708.05768 (2017) - [i6]Xiuyuan Cheng, Alexander Cloninger, Ronald R. Coifman:
Two-sample Statistics Based on Anisotropic Kernels. CoRR abs/1709.05006 (2017) - 2016
- [j25]Gal Mishne, Ronen Talmon, Ron Meir, Jackie Schiller, Maria Lavzin, Uri Dubin, Ronald R. Coifman:
Hierarchical Coupled-Geometry Analysis for Neuronal Structure and Activity Pattern Discovery. IEEE J. Sel. Top. Signal Process. 10(7): 1238-1253 (2016) - [j24]Carmeline J. Dsilva, Ronen Talmon, C. William Gear, Ronald R. Coifman, Ioannis G. Kevrekidis:
Data-Driven Reduction for a Class of Multiscale Fast-Slow Stochastic Dynamical Systems. SIAM J. Appl. Dyn. Syst. 15(3): 1327-1351 (2016) - [i5]Or Yair, Ronen Talmon, Ronald R. Coifman, Ioannis G. Kevrekidis:
No equations, no parameters, no variables: data, and the reconstruction of normal forms by learning informed observation geometries. CoRR abs/1612.03195 (2016) - 2015
- [j23]Yanbin Lu, Lawrence Carin, Ronald R. Coifman, William Shain, Badrinath Roysam:
Quantitative Arbor Analytics: Unsupervised Harmonic Co-Clustering of Populations of Brain Cell Arbors Based on L-Measure. Neuroinformatics 13(1): 47-63 (2015) - [j22]Wenzhao Lian, Ronen Talmon, Hitten Zaveri, Lawrence Carin, Ronald R. Coifman:
Multivariate time-series analysis and diffusion maps. Signal Process. 116: 13-28 (2015) - [j21]Ronen Talmon, Stéphane Mallat, Hitten Zaveri, Ronald R. Coifman:
Manifold Learning for Latent Variable Inference in Dynamical Systems. IEEE Trans. Signal Process. 63(15): 3843-3856 (2015) - [c22]Roy R. Lederman, Ronen Talmon, Hau-Tieng Wu, Yu-Lun Lo, Ronald R. Coifman:
Alternating diffusion for common manifold learning with application to sleep stage assessment. ICASSP 2015: 5758-5762 - [i4]Alexander Cloninger, Ronald R. Coifman, Nicholas Downing, Harlan M. Krumholz:
Bigeometric Organization of Deep Nets. CoRR abs/1507.00220 (2015) - [i3]Uri Shaham, Alexander Cloninger, Ronald R. Coifman:
Provable approximation properties for deep neural networks. CoRR abs/1509.07385 (2015) - 2014
- [j20]Ángela Fernández, Neta Rabin, Ronald R. Coifman, Joseph Eckstein:
Diffusion methods for aligning medical datasets: Location prediction in CT scan images. Medical Image Anal. 18(2): 425-432 (2014) - [c21]Václav Chudácek, Ronen Talmon, Joakim Andén, Stéphane Mallat, Ronald R. Coifman, Patrice Abry, Muriel Doret:
Low dimensional manifold embedding for scattering coefficients of intrapartum fetale heart rate variability. EMBC 2014: 6373-6376 - 2013
- [j19]Ronen Talmon, Israel Cohen, Sharon Gannot, Ronald R. Coifman:
Diffusion Maps for Signal Processing: A Deeper Look at Manifold-Learning Techniques Based on Kernels and Graphs. IEEE Signal Process. Mag. 30(4): 75-86 (2013) - [c20]Ronen Talmon, Israel Cohen, Sharon Gannot, Ronald R. Coifman:
Graph-based bayesian approach for transient interference suppression. EUSIPCO 2013: 1-5 - [c19]Ronen Talmon, Yoel Shkolnisky, Ronald R. Coifman:
Nonlinear Modeling and Processing Using Empirical Intrinsic Geometry with Application to Biomedical Imaging. GSI 2013: 441-448 - [c18]Yanbin Lu, Kristen Trett, William Shain, Lawrence Carin, Ronald R. Coifman, Badrinath Roysam:
Quantitative profiling of microglia populations using harmonic co-clustering of arbor morphology measurements. ISBI 2013: 1360-1363 - 2012
- [j18]Ronen Talmon, Israel Cohen, Sharon Gannot, Ronald R. Coifman:
Supervised Graph-Based Processing for Sequential Transient Interference Suppression. IEEE Trans. Speech Audio Process. 20(9): 2528-2538 (2012) - [j17]Ronen Talmon, Dan Kushnir, Ronald R. Coifman, Israel Cohen, Sharon Gannot:
Parametrization of Linear Systems Using Diffusion Kernels. IEEE Trans. Signal Process. 60(3): 1159-1173 (2012) - [c17]Neta Rabin, Ronald R. Coifman:
Heterogeneous Datasets Representation and Learning using Diffusion Maps and Laplacian Pyramids. SDM 2012: 189-199 - [i2]Ronald R. Coifman, Matthew J. Hirn:
Bi-stochastic kernels via asymmetric affinity functions. CoRR abs/1209.0237 (2012) - [i1]Ronald R. Coifman, Matthew J. Hirn:
Diffusion maps for changing data. CoRR abs/1209.0245 (2012) - 2010
- [j16]Yosi Keller, Ronald R. Coifman, Stéphane Lafon, Steven W. Zucker:
Audio-visual group recognition using diffusion maps. IEEE Trans. Signal Process. 58(1): 403-413 (2010) - [c16]Gil David, Amir Averbuch, Ronald R. Coifman:
Hierarchical Clustering Via Localized Diffusion Folders. AAAI Fall Symposium: Manifold Learning and Its Applications 2010 - [c15]Matan Gavish, Boaz Nadler, Ronald R. Coifman:
Multiscale Wavelets on Trees, Graphs and High Dimensional Data: Theory and Applications to Semi Supervised Learning. ICML 2010: 367-374
2000 – 2009
- 2008
- [j15]Arthur D. Szlam, Mauro Maggioni, Ronald R. Coifman:
Regularization on Graphs with Function-adapted Diffusion Processes. J. Mach. Learn. Res. 9: 1711-1739 (2008) - [j14]Ronald R. Coifman, Ioannis G. Kevrekidis, Stéphane Lafon, Mauro Maggioni, Boaz Nadler:
Diffusion Maps, Reduction Coordinates, and Low Dimensional Representation of Stochastic Systems. Multiscale Model. Simul. 7(2): 842-864 (2008) - [j13]Amir Averbuch, Ronald R. Coifman, David L. Donoho, Moshe Israeli, Yoel Shkolnisky:
A Framework for Discrete Integral Transformations I-The Pseudopolar Fourier Transform. SIAM J. Sci. Comput. 30(2): 764-784 (2008) - [j12]Amir Averbuch, Ronald R. Coifman, David L. Donoho, Moshe Israeli, Yoel Shkolnisky, Ilya Sedelnikov:
A Framework for Discrete Integral Transformations II-The 2D Discrete Radon Transform. SIAM J. Sci. Comput. 30(2): 785-803 (2008) - [j11]Ronald R. Coifman, Yoel Shkolnisky, Fred J. Sigworth, Amit Singer:
Graph Laplacian Tomography From Unknown Random Projections. IEEE Trans. Image Process. 17(10): 1891-1899 (2008) - 2007
- [c14]Gregory Hagen, Troy Smith, Andrzej Banaszuk, Ronald R. Coifman, Igor Mezic:
Validation of low-dimensional models using diffusion maps and harmonic averaging. CDC 2007: 5353-5357 - 2006
- [j10]Stéphane Lafon, Yosi Keller, Ronald R. Coifman:
Data Fusion and Multicue Data Matching by Diffusion Maps. IEEE Trans. Pattern Anal. Mach. Intell. 28(11): 1784-1797 (2006) - [c13]Leslie S. Prichep, Elvir Causevic, Ronald R. Coifman, Robert Isenhart, Arnaud E. Jacquin, E. Roy John, Mauro Maggioni, Fred Warner:
Qeeg-Based Classification With Wavelet Packet and Microstate Features for Triage Applications in the ER. ICASSP (3) 2006: 1136-1139 - 2005
- [c12]Umesh Vaidya, Gregory Hagen, Stéphane Lafon, Andrzej Banaszuk, Igor Mezic, Ronald R. Coifman:
Comparison of Systems using Diffusion Maps. CDC/ECC 2005: 7931-7936 - [c11]Boaz Nadler, Stéphane Lafon, Ronald R. Coifman, Ioannis G. Kevrekidis:
Diffusion Maps, Spectral Clustering and Eigenfunctions of Fokker-Planck Operators. NIPS 2005: 955-962 - 2003
- [j9]Nasir M. Rajpoot, Roland G. Wilson, François G. Meyer, Ronald R. Coifman:
Adaptive wavelet packet basis selection for zerotree image coding. IEEE Trans. Image Process. 12(12): 1460-1472 (2003) - 2002
- [j8]Naoki Saito, Ronald R. Coifman, Frank B. Geshwind, Fred Warner:
Discriminant feature extraction using empirical probability density estimation and a local basis library. Pattern Recognit. 35(12): 2841-2852 (2002) - [j7]François G. Meyer, Amir Averbuch, Ronald R. Coifman:
Multilayered image representation: application to image compression. IEEE Trans. Image Process. 11(9): 1072-1080 (2002) - 2001
- [j6]Ronald R. Coifman, Artur Sowa:
New Methods of Controlled Total Variation Reduction for Digital Functions. SIAM J. Numer. Anal. 39(2): 480-498 (2001) - [j5]Amir Averbuch, François G. Meyer, Jan-Olov Strömberg, Ronald R. Coifman, Anthony Vassiliou:
Low bit-rate efficient compression for seismic data. IEEE Trans. Image Process. 10(12): 1801-1814 (2001) - [c10]Nasir M. Rajpoot, François G. Meyer, Roland G. Wilson, Ronald R. Coifman:
A new basis selection paradigm for wavelet packet image coding. ICIP (3) 2001: 816-819
1990 – 1999
- 1999
- [c9]Nasir M. Rajpoot, François G. Meyer, Roland G. Wilson, Ronald R. Coifman:
On Zerotree Quantization for Embedded Wavelet Packet Image Coding. ICIP (2) 1999: 283-287 - 1998
- [c8]François G. Meyer, Amir Averbuch, Jan-Olov Strömberg, Ronald R. Coifman:
Fast Wavelet Packet Image Compression. Data Compression Conference 1998: 563 - [c7]François G. Meyer, Amir Averbuch, Jan-Olov Strömberg, Ronald R. Coifman:
Multi-Layered Image Representation: Application to Image Compression. ICIP (2) 1998: 292-296 - 1997
- [c6]François G. Meyer, Amir Averbuch, Ronald R. Coifman:
Motion Compensation of Wavelet Coefficients for Very Low Bit Rate Coding. ICIP (3) 1997: 638-641 - 1996
- [c5]François G. Meyer, Ronald R. Coifman:
Adaptive directional image compression with oriented wavelets. ICIP (1) 1996: 601-604 - 1995
- [j4]Naoki Saito, Ronald R. Coifman:
Local discriminant bases and their applications. J. Math. Imaging Vis. 5(4): 337-358 (1995) - [c4]Naoki Saito, Ronald R. Coifman:
On local orthonormal bases for classification and regression. ICASSP 1995: 1529-1532 - [c3]Jonathan Berger, Maxim J. Goldberg, Ronald R. Coifman:
A Two-Stage Automatic Adaptive Process to Remove Noise from an Audio Signal. ICMC 1995 - [c2]Igor Popovic, Ronald R. Coifman, Jonathan Berger:
Aspects of Pitch-Tracking and Timbre Separation: Feature Detection in Digital Audio Using Adapted Local Trigonometric Bases and Wavelet Packages. ICMC 1995 - 1994
- [c1]Jonathan Berger, Maxim J. Goldberg, Ronald R. Coifman:
A Method of Denoising and Reconstructing Audio Signals. ICMC 1994 - 1993
- [j3]Gil Aharoni, Amir Averbuch, Ronald R. Coifman, Moshe Israeli:
Local cosine transform - a method for the reduction of the blocking effect in JPEG. J. Math. Imaging Vis. 3(1): 7-38 (1993) - [j2]Bradley K. Alpert, Gregory Beylkin, Ronald R. Coifman, Vladimir Rokhlin:
Wavelet-Like Bases for the Fast Solution of Second-Kind Integral Equations. SIAM J. Sci. Comput. 14(1): 159-184 (1993) - 1992
- [j1]Ronald R. Coifman, M. Victor Wickerhauser:
Entropy-based algorithms for best basis selection. IEEE Trans. Inf. Theory 38(2): 713-718 (1992)
Coauthor Index
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